The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-16"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "21672186 (up from 21459699 yesterday: 0.99 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "775244 (up from 771063 yesterday: 0.54 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5419645

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.58



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5403213 42048 0.78 1169290 170052 571 0.34 3.15
Brazil 3340197 23101 0.70 921106 107852 620 0.58 3.23
India 2647663 57711 2.23 1212047 50921 941 1.88 1.92
Russia 920719 4911 0.54 109646 15653 68 0.44 1.70
South Africa 587345 3692 0.63 141912 11839 162 1.39 2.02
Peru 525803 9507 1.84 149842 26075 219 0.85 4.96
Mexico 522162 4448 0.86 131646 56757 214 0.38 10.87
Colombia 468332 11643 2.55 227537 15097 287 1.94 3.22
Chile 385946 2044 0.53 40156 10452 57 0.55 2.71
Iran 343203 2133 0.63 52031 19639 147 0.75 5.72
Spain 342813 0 0.00 70392 28617 0 0.00 8.35
United Kingdom 320343 1111 0.35 19323 46791 0 0.00 14.61
Saudi Arabia 298542 1227 0.41 31601 3408 39 1.16 1.14
Argentina 294569 5469 1.89 132043 5703 66 1.17 1.94
Pakistan 289215 1168 0.41 16102 6175 13 0.21 2.14
Bangladesh 276549 2024 0.74 53096 3657 32 0.88 1.32
Italy 253915 477 0.19 7797 35396 4 0.01 13.94
France 252965 0 0.00 35164 30410 0 0.00 12.02
Turkey 249309 1192 0.48 23209 5974 19 0.32 2.40
Germany 225007 519 0.23 18340 9235 0 0.00 4.10
Iraq 176931 4348 2.52 66899 5860 75 1.30 3.31
Philippines 161253 3335 2.11 80805 2665 65 2.50 1.65
Indonesia 139549 2081 1.51 40771 6150 79 1.30 4.41
Canada 124004 179 0.14 8215 9074 2 0.02 7.32
Qatar 115080 271 0.24 5775 193 1 0.52 0.17
Kazakhstan 103033 337 0.33 19911 1269 0 0.00 1.23
Ecuador 101542 854 0.85 20848 6070 5 0.08 5.98
Bolivia 100344 1198 1.21 30915 4058 55 1.37 4.04
Egypt 96475 139 0.14 4413 5160 19 0.37 5.35
Ukraine 93490 1695 1.85 27229 2100 24 1.16 2.25
Israel 92680 447 0.48 30724 685 11 1.63 0.74
China 89375 96 0.11 2805 4703 0 0.00 5.26
Dominican Republic 86309 764 0.89 23401 1453 15 1.04 1.68
Sweden 84294 0 0.00 5297 5783 0 0.00 6.86
Oman 83086 162 0.20 7081 572 10 1.78 0.69
Panama 81940 1275 1.58 21644 1767 21 1.20 2.16
Belgium 78323 454 0.58 12297 9939 4 0.04 12.69
Kuwait 76205 508 0.67 12432 501 3 0.60 0.66
Romania 70461 1087 1.57 25663 2991 37 1.25 4.24
Belarus 69516 208 0.30 2384 610 7 1.16 0.88
Netherlands 64468 579 0.91 11463 6194 3 0.05 9.61
United Arab Emirates 64312 210 0.33 5399 364 3 0.83 0.57
Guatemala 62562 249 0.40 17509 2379 24 1.02 3.80
Poland 56684 594 1.06 13619 1877 8 0.43 3.31
Japan 56074 1023 1.86 25526 1103 10 0.91 1.97
Singapore 55747 86 0.15 5378 27 0 0.00 0.05
Portugal 54102 121 0.22 3938 1778 3 0.17 3.29
Honduras 50502 523 1.05 11226 1575 8 0.51 3.12
Nigeria 49068 298 0.61 8536 975 1 0.10 1.99
Bahrain 46835 405 0.87 7704 170 0 0.00 0.36
Ghana 42532 322 0.76 9563 231 0 0.00 0.54
Morocco 42489 1472 3.59 22211 658 26 4.11 1.55
Kyrgyzstan 41856 211 0.51 9043 1495 2 0.13 3.57
Armenia 41663 168 0.40 4346 818 1 0.12 1.96
Algeria 38583 450 1.18 11226 1370 10 0.74 3.55
Switzerland 38124 200 0.53 3712 1991 0 0.00 5.22
Afghanistan 37596 45 0.12 1439 1375 5 0.36 3.66
Uzbekistan 35329 801 2.32 14798 232 7 3.11 0.66
Azerbaijan 34219 112 0.33 4169 506 0 0.00 1.48
Venezuela 33755 1148 3.52 18292 281 5 1.81 0.83
Moldova 30183 278 0.93 7149 896 1 0.11 2.97
Kenya 30120 271 0.91 12517 474 2 0.42 1.57
Ethiopia 29876 982 3.40 15908 528 19 3.73 1.77
Serbia 29682 211 0.72 5952 674 4 0.60 2.27
Costa Rica 28465 728 2.62 13236 294 3 1.03 1.03
Ireland 27257 66 0.24 1376 1774 0 0.00 6.51
Nepal 26660 641 2.46 8047 104 2 1.96 0.39
Australia 23558 271 1.16 8623 421 25 6.31 1.79
Austria 23370 191 0.82 2898 728 0 0.00 3.12
El Salvador 22912 293 1.30 8282 612 9 1.49 2.67
Czechia 20012 121 0.61 4688 397 2 0.51 1.98
Cameroon 18469 0 0.00 1761 401 0 0.00 2.17
Cote d’Ivoire 17026 33 0.19 1430 110 2 1.85 0.65
West Bank and Gaza 16534 381 2.36 6065 110 2 1.85 0.67
Denmark 16003 136 0.86 2338 621 0 0.00 3.88
Bosnia and Herzegovina 15801 0 0.00 6034 471 0 0.00 2.98
Korea, South 15515 197 1.29 1340 305 0 0.00 1.97
Bulgaria 14365 32 0.22 3938 498 3 0.61 3.47
Madagascar 13827 103 0.75 4532 170 4 2.41 1.23
North Macedonia 12739 86 0.68 2653 544 5 0.93 4.27
Sudan 12314 103 0.84 929 798 2 0.25 6.48
Senegal 12162 130 1.08 2481 253 2 0.80 2.08
Kosovo 11275 0 0.00 4358 390 0 0.00 3.46
Norway 10005 40 0.40 888 261 0 0.00 2.61

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 623873 5879 0.95 171585 11243 25 0.22 1.80 15789.37 284.54 1 in 63
Florida 573416 3779 0.66 149561 9452 107 1.14 1.65 26698.16 440.08 1 in 37
Texas 555394 8842 1.62 161310 10396 128 1.25 1.87 19154.24 358.53 1 in 52
New York 425508 607 0.14 13772 32840 7 0.02 7.72 21873.01 1688.12 1 in 46
Georgia 237030 1862 0.79 69077 4702 33 0.71 1.98 22324.63 442.86 1 in 45
Illinois 207412 1561 0.76 34749 7955 18 0.23 3.84 16367.97 627.77 1 in 61
Arizona 193537 883 0.46 31523 4506 14 0.31 2.33 25415.59 591.74 1 in 39
New Jersey 187455 13 0.01 8092 15912 2 0.01 8.49 21104.59 1791.45 1 in 47
North Carolina 144952 1248 0.87 32015 2347 4 0.17 1.62 13820.64 223.78 1 in 72
Louisiana 137918 1181 0.86 30344 4507 77 1.74 3.27 29667.48 969.50 1 in 34
Tennessee 133708 1961 1.49 39772 1366 21 1.56 1.02 19567.48 199.91 1 in 51
Pennsylvania 129070 539 0.42 17325 7453 2 0.03 5.77 10082.03 582.18 1 in 99
Massachusetts 123593 394 0.32 7956 8838 12 0.14 7.15 17784.44 1271.75 1 in 56
Alabama 108433 853 0.79 29139 1898 2 0.11 1.75 22114.81 387.10 1 in 45
Ohio 108287 613 0.57 24214 3826 2 0.05 3.53 9263.93 327.31 1 in 108
Virginia 106687 937 0.89 22120 2381 0 0.00 2.23 12499.18 278.95 1 in 80
South Carolina 106497 615 0.58 25298 2269 9 0.40 2.13 20684.19 440.69 1 in 48
Michigan 102259 477 0.47 15598 6592 6 0.09 6.45 10239.36 660.07 1 in 98
Maryland 100212 519 0.52 16464 3639 3 0.08 3.63 16575.80 601.92 1 in 60
Indiana 80415 739 0.93 18043 3133 5 0.16 3.90 11944.80 465.37 1 in 84
Mississippi 72136 381 0.53 19982 2084 4 0.19 2.89 24238.03 700.23 1 in 41
Missouri 68196 1192 1.78 26036 1383 5 0.36 2.03 11111.49 225.34 1 in 90
Washington 67461 576 0.86 14826 1781 15 0.85 2.64 8859.09 233.88 1 in 113
Wisconsin 65741 685 1.05 16914 1039 1 0.10 1.58 11290.98 178.45 1 in 89
Minnesota 65152 739 1.15 13999 1752 47 2.76 2.69 11552.53 310.66 1 in 87
Nevada 61305 697 1.15 18462 1072 3 0.28 1.75 19903.21 348.03 1 in 50
Colorado 53157 338 0.64 8839 1896 0 0.00 3.57 9230.67 329.24 1 in 108
Arkansas 52665 673 1.29 14042 599 -1 -0.17 1.14 17451.31 198.49 1 in 57
Iowa 52447 382 0.73 10090 975 0 0.00 1.86 16623.09 309.03 1 in 60
Connecticut 50897 0 0.00 2121 4453 0 0.00 8.75 14275.71 1248.99 1 in 70
Oklahoma 48342 544 1.14 17057 661 4 0.61 1.37 12216.92 167.05 1 in 82
Utah 46652 331 0.71 8679 363 0 0.00 0.78 14551.66 113.23 1 in 69
Kentucky 38930 0 0.00 11848 810 0 0.00 2.08 8713.71 181.30 1 in 115
Kansas 33885 0 0.00 8595 406 0 0.00 1.20 11631.08 139.36 1 in 86
Nebraska 30372 131 0.43 5754 361 0 0.00 1.19 15700.93 186.62 1 in 64
Idaho 27656 181 0.66 9478 269 0 0.00 0.97 15432.48 150.11 1 in 65
Puerto Rico 26006 311 1.21 10863 335 6 1.82 1.29 8142.92 104.89 1 in 123
New Mexico 23408 106 0.45 4366 714 3 0.42 3.05 11163.52 340.51 1 in 90
Oregon 23262 244 1.06 6504 388 2 0.52 1.67 5515.28 91.99 1 in 181
Rhode Island 20335 0 0.00 2111 1021 0 0.00 5.02 19195.53 963.79 1 in 52
Delaware 16451 55 0.34 2161 593 0 0.00 3.60 16894.24 608.98 1 in 59
District of Columbia 13220 61 0.46 1440 597 0 0.00 4.52 18731.87 845.91 1 in 53
South Dakota 10274 156 1.54 1879 153 1 0.66 1.49 11613.51 172.95 1 in 86
North Dakota 8587 143 1.69 2711 125 4 3.31 1.46 11268.11 164.03 1 in 89
West Virginia 8567 105 1.24 2678 160 0 0.00 1.87 4793.67 89.53 1 in 209
New Hampshire 6988 8 0.11 552 423 0 0.00 6.05 5139.33 311.10 1 in 195
Montana 5750 91 1.61 2409 82 0 0.00 1.43 5379.98 76.72 1 in 186
Hawaii 5042 217 4.50 3359 40 0 0.00 0.79 3561.06 28.25 1 in 281
Alaska 4259 103 2.48 1734 28 0 0.00 0.66 5821.92 38.28 1 in 172
Maine 4168 24 0.58 354 127 0 0.00 3.05 3100.70 94.48 1 in 323
Wyoming 3286 59 1.83 811 30 0 0.00 0.91 5677.67 51.84 1 in 176
Vermont 1515 6 0.40 115 58 0 0.00 3.83 2427.93 92.95 1 in 412

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 9798135 623873 6.37 2629996 171585 6.52 247977.3
2 Florida 4232628 573416 13.55 846125 149561 17.68 197070.5
3 Texas 4439041 555394 12.51 1069066 161310 15.09 153092.1
4 New York 7068196 425508 6.02 1498317 13772 0.92 363336.9
5 Georgia 2005273 237030 11.82 576328 69077 11.99 188866.3
6 Illinois 3368183 207412 6.16 855374 34749 4.06 265801.0
7 Arizona 1091974 193537 17.72 224871 31523 14.02 143399.8
8 New Jersey 2490186 187455 7.53 536897 8092 1.51 280357.2
9 North Carolina 1924646 144952 7.53 311261 32015 10.29 183507.9
10 Louisiana 1658087 137918 8.32 424823 30344 7.14 356670.3
11 Tennessee 1857340 133708 7.20 474488 39772 8.38 271812.2
12 Pennsylvania 1456863 129070 8.86 320662 17325 5.40 113799.7
13 Massachusetts 1449968 123593 8.52 329209 7956 2.42 208643.4
14 Alabama 846424 108433 12.81 196738 29139 14.81 172627.4
15 Ohio 1829645 108287 5.92 503214 24214 4.81 156525.7
16 Virginia 1353848 106687 7.88 325608 22120 6.79 158613.4
17 South Carolina 867601 106497 12.27 219788 25298 11.51 168508.3
18 Michigan 2321050 102259 4.41 650306 15598 2.40 232410.5
19 Maryland 1142410 100212 8.77 303838 16464 5.42 188963.0
20 Indiana 906851 80415 8.87 205540 18043 8.78 134703.1
21 Mississippi 520146 72136 13.87 97053 19982 20.59 174771.5
22 Missouri 845618 68196 8.06 218667 26036 11.91 137780.5
23 Washington 1016992 67461 6.63 113318 14826 13.08 133553.0
24 Wisconsin 1130779 65741 5.81 260550 16914 6.49 194210.7
25 Minnesota 994054 65152 6.55 36680 13999 38.17 176262.2
26 Nevada 547463 61305 11.20 108532 18462 17.01 177738.7
27 Colorado 859734 53157 6.18 369338 8839 2.39 149292.1
28 Arkansas 622050 52665 8.47 144783 14042 9.70 206125.3
29 Iowa 551193 52447 9.52 100594 10090 10.03 174700.7
30 Connecticut 937690 50897 5.43 224618 2121 0.94 263005.5
31 Oklahoma 754961 48342 6.40 188048 17057 9.07 190792.6
32 Utah 598527 46652 7.79 93176 8679 9.31 186692.1
33 Kentucky 712361 38930 5.46 170463 11848 6.95 159447.9
34 Kansas 343043 33885 9.88 65076 8595 13.21 117750.1
35 Nebraska 320876 30372 9.47 65412 5754 8.80 165878.1
36 Idaho 223222 27656 12.39 56998 9478 16.63 124561.3
38 New Mexico 665291 23408 3.52 152866 4366 2.86 317284.3
39 Oregon 488797 23262 4.76 110322 6504 5.90 115890.8
40 Rhode Island 229865 20335 8.85 39837 2111 5.30 216984.6
41 Delaware 210385 16451 7.82 40392 2161 5.35 216053.4
42 District of Columbia 242852 13220 5.44 71254 1440 2.02 344105.3
43 South Dakota 128774 10274 7.98 21848 1879 8.60 145563.4
44 North Dakota 179800 8587 4.78 33321 2711 8.14 235938.8
45 West Virginia 355339 8567 2.41 93613 2678 2.86 198830.3
46 New Hampshire 184929 6988 3.78 31320 552 1.76 136006.1
47 Montana 201924 5750 2.85 49609 2409 4.86 188929.8
48 Hawaii 159299 5042 3.17 45247 3359 7.42 112509.5
49 Alaska 301515 4259 1.41 94251 1734 1.84 412161.9
50 Maine 210223 4168 1.98 54905 354 0.64 156391.2
51 Wyoming 60095 3286 5.47 11797 811 6.87 103834.2
52 Vermont 111335 1515 1.36 21526 115 0.53 178424.6

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 604358 8493 1.43 428514 70.90 155268 20265 228 1.14 3.35
Tamil Nadu 343945 5890 1.74 283937 82.55 54122 5886 120 2.08 1.71
Andhra Pradesh 296609 6780 2.34 209100 70.50 84777 2732 82 3.09 0.92
Karnataka 233283 6317 2.78 148562 63.68 80641 4071 115 2.91 1.75
Uttar Pradesh 158216 3798 2.46 104808 66.24 50893 2515 66 2.69 1.59
Delhi 153367 787 0.52 138301 90.18 10852 4214 18 0.43 2.75
West Bengal 119578 3080 2.64 89703 75.02 27402 2473 45 1.85 2.07
Bihar 106618 2525 2.43 76706 71.94 29369 542 5 0.93 0.51
Telangana 92255 0 0.00 70132 76.02 21420 703 0 0.00 0.76
Gujarat 79816 1033 1.31 62679 78.53 14337 2800 15 0.54 3.51
Assam 79668 2792 3.63 56735 71.21 22733 197 8 4.23 0.25
Rajasthan 62630 1334 2.18 47654 76.09 14089 887 11 1.26 1.42
Odisha 62294 2244 3.74 43780 70.28 18108 406 10 2.53 0.65
Haryana 48040 887 1.88 40610 84.53 6880 550 12 2.23 1.14
Madhya Pradesh 46385 930 2.05 35025 75.51 10232 1128 23 2.08 2.43
Kerala 46140 1725 3.88 30025 65.07 15891 170 13 8.28 0.37
Punjab 32695 1489 4.77 20180 61.72 11653 862 50 6.16 2.64
Jammu and Kashmir 28892 422 1.48 21296 73.71 7048 548 6 1.11 1.90
Jharkhand 24067 843 3.63 15348 63.77 8464 255 11 4.51 1.06
Chhattisgarh 16025 404 2.59 10598 66.13 5277 150 8 5.63 0.94
Uttarakhand 12493 318 2.61 8485 67.92 3806 158 6 3.95 1.26
Goa 11994 355 3.05 8058 67.18 3825 111 7 6.73 0.93
Puducherry 8029 297 3.84 4627 57.63 3288 114 4 3.64 1.42
Tripura 7219 0 0.00 5286 73.22 1856 59 0 0.00 0.82
Manipur 4687 118 2.58 2734 58.33 1936 17 1 6.25 0.36
Himachal Pradesh 4174 18 0.43 2834 67.90 1280 18 0 0.00 0.43
Nagaland 3455 61 1.80 1530 44.28 1911 7 0 0.00 0.20
Arunachal Pradesh 2741 40 1.48 1893 69.06 843 5 0 0.00 0.18
Andaman and Nicobar Islands 2445 46 1.92 1325 54.19 1091 29 1 3.57 1.19
Chandigarh 2216 114 5.42 1183 53.38 1001 30 1 3.45 1.35
Ladakh 1966 18 0.92 1368 69.58 584 14 0 0.00 0.71
Dadra and Nagar Haveli and Daman and Diu 1908 27 1.44 1480 77.57 410 2 0 0.00 0.10
Meghalaya 1420 46 3.35 679 47.82 735 6 0 0.00 0.42
Sikkim 1187 20 1.71 701 59.06 485 1 0 0.00 0.08
Mizoram 789 0 0.00 372 47.15 417 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1413754 97380 61 0.06 6.89 147 13 5377 16840 17.29
Piemonte 535766 32084 40 0.12 5.99 80 3 865 4139 12.90
Emilia-Romagna 768939 30436 51 0.17 3.96 74 4 1805 4453 14.63
Veneto 1371827 21210 78 0.37 1.55 35 4 1607 2096 9.88
Toscana 469408 10833 34 0.31 2.31 10 4 667 1138 10.50
Liguria 211264 10458 12 0.11 4.95 19 3 285 1569 15.00
Lazio 457954 9127 68 0.75 1.99 204 9 1284 870 9.53
Marche 183363 7035 5 0.07 3.84 12 1 194 987 14.03
Campania 361893 5278 46 0.88 1.46 43 1 533 440 8.34
P.A. Trento 169701 5003 0 0.00 2.95 1 1 59 405 8.10
Puglia 267374 4858 15 0.31 1.82 47 1 323 554 11.40
Sicilia 308979 3766 39 1.05 1.22 51 5 712 285 7.57
Abruzzo 140925 3560 2 0.06 2.53 25 1 254 472 13.26
Friuli Venezia Giulia 283774 3507 8 0.23 1.24 3 3 196 348 9.92
P.A. Bolzano 121956 2802 9 0.32 2.30 7 1 129 292 10.42
Umbria 133020 1548 3 0.19 1.16 10 1 83 80 5.17
Sardegna 117744 1493 5 0.34 1.27 8 0 105 134 8.98
Calabria 135740 1348 3 0.22 0.99 9 1 146 97 7.20
Valle d’Aosta 23221 1217 0 0.00 5.24 2 0 9 146 12.00
Molise 29958 487 0 0.00 1.63 0 0 35 23 4.72
Basilicata 50857 485 0 0.00 0.95 0 0 65 28 5.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61151 67 0.11 5720 1 0.02 9.35 7162.49 669.97 1 in 140
Ontario 42563 62 0.15 2836 0 0.00 6.66 2893.11 192.77 1 in 346
Alberta 12053 0 0.00 221 0 0.00 1.83 2731.16 50.08 1 in 366
British Columbia 4358 0 0.00 196 0 0.00 4.50 852.68 38.35 1 in 1173
Saskatchewan 1580 14 0.89 22 1 4.76 1.39 1337.10 18.62 1 in 748
Nova Scotia 1074 0 0.00 64 0 0.00 5.96 1098.77 65.48 1 in 910
Manitoba 697 34 5.13 9 0 0.00 1.29 505.98 6.53 1 in 1976
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 186 2 1.09 2 0 0.00 1.08 238.46 2.56 1 in 4194
Prince Edward Island 41 0 0.00 0 0 NaN 0.00 259.23 0.00 1 in 3858
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4480 69 1.54
Guangdong 1720 8 0.47
Henan 1276 22 1.72
Zhejiang 1275 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 902 3 0.33
Shanghai 828 7 0.85
Shandong 822 7 0.85
Jiangsu 661 0 0.00
Sichuan 626 3 0.48
Chongqing 583 6 1.03
Fujian 370 1 0.27
Shaanxi 354 3 0.85
Hebei 351 6 1.71
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 207 3 1.45
Shanxi 201 0 0.00
Yunnan 195 2 1.03
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 16513.49 519.72 1 in 61
Brazil 15958.90 515.30 1 in 63
India 1977.34 38.03 1 in 506
Russia 6371.76 108.33 1 in 157
South Africa 10355.17 208.73 1 in 97
Peru 16344.51 810.54 1 in 61
Mexico 4041.50 439.30 1 in 247
Colombia 9544.16 307.66 1 in 105
Chile 21382.05 579.06 1 in 47
Iran 4228.72 241.98 1 in 236
Spain 7347.04 613.31 1 in 136
United Kingdom 4821.54 704.26 1 in 207
Saudi Arabia 9063.21 103.46 1 in 110
Argentina 6653.92 128.82 1 in 150
Pakistan 1468.10 31.35 1 in 681
Bangladesh NA NA 1 in NA
Italy 4198.33 585.25 1 in 238
France 3776.16 453.95 1 in 265
Turkey 3085.13 73.93 1 in 324
Germany 2717.80 111.55 1 in 368

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 230223 23628 10.26
Los Angeles California 221971 5254 2.37
Miami-Dade Florida 145307 2057 1.42
Maricopa Arizona 129385 2596 2.01
Cook Illinois 115960 4962 4.28
Harris Texas 92253 1829 1.98
Broward Florida 66447 980 1.47
Dallas Texas 63428 825 1.30
Clark Nevada 52867 910 1.72
Riverside California 45662 881 1.93
Suffolk New York 44159 1998 4.52
Bexar Texas 44052 892 2.02
Nassau New York 43929 2195 5.00
Orange California 43709 810 1.85
San Bernardino California 41124 568 1.38
Palm Beach Florida 39129 992 2.54
Westchester New York 36453 1447 3.97
Tarrant Texas 35310 504 1.43
San Diego California 34344 626 1.82
Hillsborough Florida 34238 483 1.41
Orange Florida 33382 351 1.05
Philadelphia Pennsylvania 32186 1717 5.33
Wayne Michigan 29111 2839 9.75
Kern California 26570 204 0.77
Middlesex Massachusetts 26565 2006 7.55
Shelby Tennessee 24692 327 1.32
Prince George’s Maryland 24654 768 3.12
Duval Florida 24629 222 0.90
Travis Texas 24144 335 1.39
Mecklenburg North Carolina 23110 257 1.11
Milwaukee Wisconsin 22212 466 2.10
Suffolk Massachusetts 22017 1076 4.89
Hidalgo Texas 22013 955 4.34
Fulton Georgia 21993 474 2.16
Davidson Tennessee 21893 227 1.04
Salt Lake Utah 21771 211 0.97
Gwinnett Georgia 21534 289 1.34
Bergen New Jersey 21195 2036 9.61
Hennepin Minnesota 20469 848 4.14
Essex New Jersey 19927 2110 10.59
Fresno California 19900 203 1.02
Hudson New Jersey 19892 1508 7.58
Pima Arizona 19581 531 2.71
Franklin Ohio 19553 537 2.75
Montgomery Maryland 19003 810 4.26
Pinellas Florida 18730 548 2.93
El Paso Texas 18350 358 1.95
Fairfield Connecticut 18160 1410 7.76
Middlesex New Jersey 18099 1415 7.82
Passaic New Jersey 17950 1244 6.93
Essex Massachusetts 17930 1194 6.66
Cameron Texas 17816 560 3.14
King Washington 17623 694 3.94
Lee Florida 17401 375 2.16
Nueces Texas 17044 287 1.68
Fairfax Virginia 16995 533 3.14
Union New Jersey 16869 1349 8.00
Out of GA Georgia 16865 102 0.60
Marion Indiana 16640 735 4.42
St. Louis Missouri 16614 678 4.08
Oakland Michigan 16469 1141 6.93
Jefferson Louisiana 15789 531 3.36
Providence Rhode Island 15644 0 0.00
Polk Florida 15429 358 2.32
DeKalb Georgia 15030 264 1.76
Alameda California 14973 221 1.48
Cobb Georgia 14893 339 2.28
San Joaquin California 14651 261 1.78
Cuyahoga Ohio 14335 528 3.68
Santa Clara California 14207 209 1.47
Rockland New York 14007 674 4.81
Jefferson Alabama 13988 262 1.87
Baltimore Maryland 13941 575 4.12
Worcester Massachusetts 13686 1007 7.36
Sacramento California 13615 199 1.46
Baltimore City Maryland 13425 443 3.30
New Haven Connecticut 13316 1109 8.33
Lake Illinois 13282 450 3.39
District of Columbia District of Columbia 13220 597 4.52
DuPage Illinois 12892 526 4.08
Charleston South Carolina 12879 214 1.66
Hartford Connecticut 12871 1419 11.02
East Baton Rouge Louisiana 12824 383 2.99
Wake North Carolina 12714 182 1.43
Stanislaus California 12379 198 1.60
Fort Bend Texas 12228 194 1.59
Tulare California 12105 205 1.69
Douglas Nebraska 12065 143 1.19
Yuma Arizona 11861 294 2.48
Oklahoma Oklahoma 11600 131 1.13
Tulsa Oklahoma 11375 114 1.00
Macomb Michigan 11316 955 8.44
Orange New York 11254 491 4.36
Greenville South Carolina 11252 227 2.02
Contra Costa California 11228 157 1.40
Mobile Alabama 11022 227 2.06
Orleans Louisiana 10992 568 5.17
Polk Iowa 10983 211 1.92
Collier Florida 10891 152 1.40
Ocean New Jersey 10752 1020 9.49

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc